Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
camera-movement
video-understanding
qwen3-vl
vggt-injection
Instructions to use ddz16/CamInject-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddz16/CamInject-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ddz16/CamInject-4B") model = AutoModelForMultimodalLM.from_pretrained("ddz16/CamInject-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag, library name, and links to paper/project/github
Verified signatureThis PR improves the model card by adding the missing `library_name` and `pipeline_tag` metadata, and includes links to the paper, project page, and GitHub repository in the README content.76fbc3d
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Clean args.json: remove private paths, keep inference-essential fields only
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Fix external_plugins to use relative path
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rename model_type: vggt_direct -> caminject
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Upload CamInject-4B (checkpoint-1326)
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initial commit
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